ArticleJournal of radiology case reports2021
Large renal leiomyoma: A multidisciplinary approach to diagnosis.
Article in Journal of radiology case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- A rare case of large renal leiomyoma diagnosed histopathologically after surgical management: A case report.International journal of surgery case reports · 2024Article
- Leiomyoma of Kidney.Journal of kidney cancer and VHL · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report the case of a 45-year-old woman who presented with a large palpable abdominal mass. Initial sonographic and computed tomographic studies prompted a differential diagnosis of retroperitoneal or renal sarcoma, leiomyoma, and lipid-poor angiomyolipoma. A final diagnosis of renal leiomyoma was reached based on a consensus among radiology, surgery and pathology. In addition to reviewing the features of this entity, this case demonstrates the process of developing a working diagnosis, narrowing the differential as zadditional testing is performed and establishing a final diagnosis with interdepartmental coordination. Despite the rarity of this condition, the ability to recognize and apply imaging features to differentiate between abdominal masses of unknown origin is important for clinicians and researchers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.